AI for Fair Recruitment: Balancing Tech and Ethics

Title

AI for Fair Recruitment: Balancing Tech and Ethics

Creator

Kumar, P. Arun; Aranha, Rekha; Thaliyan, Delma

Description

Purpose: This chapter's objective is to examine how artificial intelligence (AI) is influencing the development of human resource management (HRM) systems, focusing on recruiting, developing employees, and increasing the diversity of the workforce by reducing bias. Design-methodology-approach: The investigation adopted a two-phase research strategy. First, bibliometric analysis of AI-HRM evidence received attention from most scholars indicating major topics of concern within the AI and HRM corpus. Second, a systematic literature review (SLR) based on these themes and applied focus key strings and PRISMA protocols to ensure satisfactory efforts in locating and discussing the relevant literature. Findings: The bibliometric analysis suggested three points of interest that are popular in the literature: AI in recruitment and diversity, employee development, and bias reduction. These programs can be used from mere training employees to including operational supervision and engagement. The case studies featured some well-known brands such as Unilever, Accenture, and IBM. The results indicate a possibility that AI will assist in the advancement of HRM processes, foster diversity, and inclusiveness and even bias-free recruitment and development of employees. Practical implications: The chapter proposes guidelines for the ethical application of AI in HR, including meticulous data collection, algorithmic design, and routine supervision. It emphasizes that AI possesses transformative potential for achieving diversity and inclusion in workplaces. Originality: This chapter expands on the ongoing discussion of AI in HRM by providing a bibliometric approach and SLR, making a new and substantiated claim on Al's role in promoting diversity and reducing biases. 2025 by Arun Kumar P, Rekha Aranha and Delma Thaliyan. All rights reserved.

Source

Impact of Artificial Intelligence on Data-Driven Decision Making in HR for Revolutionizing Organizational Growth;pp.253-270

Date

01-01-2025

Publisher

Emerald Publishing

Subject

Artificial intelligence; Bias; Diversity; Human oversight; Recruitment

Coverage

Kumar P.A., Christ University, Bangalore, India; Aranha R., Christ University, Bangalore, India; Thaliyan D., Christ University, Bangalore, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISBN: 978-183662982-5; 978-183662983-2;

Format

online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.1108/978-1-83662-982-520251014

https://www.scopus.com/pages/publications/105023457053?origin=resultslist